Video classification project using 3DCNNs and multiple self-supervised pretraining tasks (June, 2018).
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Updated
Jul 12, 2022 - Python
Video classification project using 3DCNNs and multiple self-supervised pretraining tasks (June, 2018).
A smart suspect tracking system used to detect real world crimes in surveillance videos and sends timely response back
Tools for MRI classification of Alzheimer's disease using 3D CNN networks
Gait Recognition with 3D CNN. This project proposes a novel approach using 3D convolutional neural networks (3D CNN) to capture spatio-temporal features of gait sequences for robust recognition in an un-intrusive manner.
3D pose estimation of mushrooms from pointcloud - trained on synthetic data
Year 3 Group Project in collaboration with IBM
Flask app to demo multimodal deep learning speech separation in videos via TensorFlow Serving
This project involves building a 3D Neural Network to correctly recognize hand gestures by a user to control a smart TV.
Gesture recognition using Convolutional Neural Networks
Pseudo-3D CNN networks in PyTorch.
Classification of Sober and Intoxicated Faces using Image Analysis
Can you identifiy the guesture action in a video using Machine Learning?
This project is a re-implementation of FeatureNet using Tensorflow 2. With working segmentation code.
A Pytorch implementation of The Visual Centrifuge: Model-Free Layered Video Representations.
SlowFast Network
Estimating brain activity for a stimulus as measured by fMRI using a volumetric conditional Generative Adversarial Network (GAN) model.
Thesis name: Comparative evaluation of deep neural networks for automatic detection of violence scenes within videos
Colab notebook for exploring the impact of overlapping data in a small 3D convolutional neural network.
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